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Data · dataset · 2023

Synthetic oversampling for credit card default prediction

Listed in Teesside University Research Data Repository

This dataset contains more than 17000 data of credit card holder with 20 predictor variables and 1 binary target variable.

Description

The corresponding R code for comparing several proposed (density-based) and existing synthetic oversampling methods (SMOTE-based) is also provided.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 6 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/jrss9jdjz9.117 h agoJSON v1
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title